{"id":"W4225822796","doi":"10.2196/35307","title":"Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Servicio Andaluz de Salud; Università Cattolica del Sacro Cuore; Universidade do Porto; European Commission","keywords":"Interoperability; Computer science; Health care; Observational study; Medicine; Artificial intelligence; Knowledge management; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008396879,0.000924685,0.0006923631,0.001131051,0.0004611526,0.001107971,0.001346563,0.001022031,0.0007621185],"category_scores_gemma":[0.01239397,0.0003183517,0.001284059,0.0006970838,0.0007102134,0.001209269,0.002008191,0.001070556,0.0002366375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479833,"about_ca_system_score_gemma":0.002479172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084271,"about_ca_topic_score_gemma":0.0055277,"domain_scores_codex":[0.9977854,0.001067698,0.0001667948,0.0004422705,0.0003268521,0.0002109248],"domain_scores_gemma":[0.9947928,0.002478896,0.0002788092,0.000985619,0.001232068,0.0002319142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001538203,0.001988146,0.09452264,0.0002379449,0.0005403371,0.0004271413,0.0003906834,0.7206702,0.005244564,0.003054498,0.001917916,0.1694678],"study_design_scores_gemma":[0.00004726153,0.0005668767,0.00749876,0.00003538807,0.00006715488,0.00005525754,0.00008042478,0.9858233,0.003649146,0.00158757,0.0005722287,0.00001667659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834429,0.0003051942,0.1110957,0.0005186199,0.00009565238,0.0003533626,0.0004688456,0.002325253,0.001394514],"genre_scores_gemma":[0.9449171,0.0001142249,0.05314084,0.0001157361,0.00001066477,0.0001479798,0.0008817334,0.00002612369,0.0006457092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084271,"threshold_uncertainty_score":0.04440749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019228106189787,"score_gpt":0.2987791006608464,"score_spread":0.2785868195989485,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}